Research and Materials on Hardware implementation of Transformer Model
PIMeval simulator and PIMbench suite
AIM, A Framework for High-throughput Sequence Alignment using Real Processing-in-Memory Systems, Bioinformatics, btad155, https://doi.org/10.1093/bioinformatics/btad155
A PIM instrumentation, compilation, execution, simulation, and evaluation repository for BLIMP-style architectures.
Source code & scripts for experimental characterization and demonstration of performing NOT and up to 16-input AND, NAND, OR, and NOR operations in real DDR4 DRAM chips. Described in our HPCA'24 paper by Yuksel et al. at https://arxiv.org/abs/2402.18736
UpPipe is an RNA abundance quantification design on a real processing-near-memory system (UPMEM DPU); the paper of this project is published in Design Automation Conference (DAC) 2023
Running state-of-the-art RNA-seq abundance quantification software "kallisto" on UPMEM DPU system
Aletheia is a memory-centric experimentation framework for exploring Processing near Memory (PNM) concepts on commodity hardware.
Processing-In-Memory acceleration of Breadth-First Search on DPUs.
Code for distributed inference of WNN on the UPMEM PiM System
Deyuan's fork with -print_tech_params, -print_decoder_breakdown, and macOS compatibility
A Basic Processing in Memory (PIM) System (Project of "Modern VLSI Design" Course)
A reference implementation of Matrix Multiplication algorithms for ML on UPMEM PIM - a processing-in-memory platform
Implementation of WNNs on the UPMEM PiM system. This implementation is optimizing for MRAM utilization.
Distributed Training on the UPMEM PiM system
We present an analog in-memory computing (AIMC) evaluation framework, providing SW/HW performance for LLM inference.
Upmem — independent third-party profile of a public API surface, by API Evangelist. UPMEM is a French fabless semiconductor company pioneering Processing-In-Memory (PIM). Its Data Processing Units (DPUs) are embedded directly in DRAM on standard DIMM modules, putting thousands of programmable cores inside memory to accelerate data-intensive workloa
To associate your repository with the processing-in-memory topic, visit your repo's landing page and select "manage topics."